Anoop Kaur | Pursuing MS in Business Analytics at CMU

Anoop Kaur

Pursuing MS in Business Analytics at CMU

Based in Pittsburgh, PA

About

IT professional with a robust background in Computer Science, boasting 9 years of industry experience. My journey began with 2 years as a Database Developer, followed by 7 years as a Data Scientist. Currently, I am furthering my education by pursuing an MS in Business Analytics at CMU's Tepper School of Business, with graduation expected in May 2024. Throughout my career, I've ventured into diverse domains such as Insurance, Banking, and Telecom, tackling a wide array of challenges. These include sentiment analysis, fraudulent transaction detection, issue resolution, customer support automation, and market segmentation.

Skills

Projects

Finlytics

The purpose of this tool is to provide financial analytics of companies based on financial parameters like EBITDA, Total Revenue, debt-on-equity ratio, Diluted EPS, etc. Using these fields for the past 3 years we are trying to analyze if the company is in a good position to invest right now and how

Investment Portfolio for Short Term Investment (Stock Prices)

Built a Stock Prediction model using Keras LSTM Model. Provides stock predictions for the next 20 days for investors who are interested in short-term investments.

Netflix Content Analysis

Developed a comprehensive Netflix data analysis dashboard using Tableau, providing actionable insights on viewer preferences, content performance, and engagement metrics. Empowering decision-makers with intuitive visualizations for informed content strategy and audience targeting.

Drug-Drug-Interaction RAG

The DDI project features a FastAPI application for querying and managing drug interaction data, supported by an interactive Jupyter Notebook for data analysis using a Retrieval-Augmented Generation (RAG) model along with Unit test, load test and UI.

Experience

2022-2023

Associate Manager Data Scientist at Accenture

• ML Innovation: Redesigned 2 fraud detection models with Clustering & Logistic Regression, saving 7 hours weekly. • Project Management: Orchestrated pipeline migration to Azure cloud with 5 teams, adding $500,000 value. • Decision Making: Strategically crafted budgets of $1M, roadmaps, and validated deliverables. • Talent Acquisition | Mentorship: Hired 10 DS talents and coached 7 juniors to develop applications within SLA.

2019-2022

Sr Data Scientist at Tech Mahindra

• Process Optimization: Developed 8 deep learning models for AT&T customer service predicting root cause of failure using Python & BERT, resulting in 50% reduction in resolution time. • Stakeholders Management: Leveraged Tableau to analyze data sets, increasing operational efficiency by 20%. • Communication: Translated complex results into visualizations using Tableau, enhancing stakeholder engagement by 15%, and onboarded 4 projects to the business unit. • Project Management: Managed 3 teams in Agile setting delivering 10 complex projects within timeline & budget. • Webinar | Upskilling: Conducted 5 organization-level workshops on ML and Python. Upskilled 25 juniors and established best practices to meet business strategy.

2017-2019

Data Scientist at Tech Mahindra

• Marketing Analytics: Enhanced marketing analysis & strategy for telecom products using decision-tree, A/B testing, Statistical modeling, and KMeans Clustering algorithms, resulting in a 10% increase in ROI. • Research Prototypes: Collaborated cross-functionally to build 4 prototypes securing funding of $350,000. • Innovation: Implemented 2 scalable models to automate server logs with Python, SQL, XGBoost classification, and AWS, preventing infrastructure downtime and saving 3 hours/week/person. • Product Delivery: Supervised end-to-end delivery for 6 months, securing $0.5 million in extended funding.

2014-2016

Database Developer at Tech Mahindra

• Performance Optimization: Revamped existing Data Models and architecture saving 4 hours/week processing time.

2024

Lead Data Scientist at Synechron

• Leadership: Led a team of 5 to migrate Anti Money Laundry models to AWS bringing a value of $1 Million • Problem Solving: Redesigned 3 ML models saving processing time of ~4 hours/week/person

Education

BTech in Computer Science & Engineering

Bachelor in Technology from Guru Nanak Dev University, Amritsar, India Coordinator in Technical Student Society, Organized Technical Fest

MTech in Data Analytics

Masters Degree from Birla Institute of Technology & Sciences (BITS)-Pilani

MS in Business Analytics

MSBA from Tepper School of Business, Carnegie Mellon University